Target Discrimination Using Infrared Techniques: Theoretical Considerations

摘要

This effort provides image processing systems, such as the RADC AFES (Automatic Feature Extraction System) and MIES (Multi-Imagery Exploitation System ) testbeds an increased capability for discriminating tactical targets from the surface background in thermal infrared (IR) imagery. This investigation presents theories of the thermal emissivity and reflectivity of natural surfaces and applies these theories to develop a background model. This will hopefully lead to the construction of algorithms to be used as a background information filter to aid in the separation of targets from background.